Accelerating linear system solvers for time-domain component separation of cosmic microwave background data

0531293 - MÚ 2021 RIV FR eng J - Journal Article
Grigori, L. - Stompor, R. - Papež, Jan
Accelerating linear system solvers for time-domain component separation of cosmic microwave background data.
Astronomy & Astrophysics. Roč. 638, June (2020), č. článku A73. ISSN 0004-6361. E-ISSN 1432-0746
Institutional support: RVO:67985840
Keywords : cosmic background radiation * numerical methods
OECD category: Applied mathematics
Impact factor: 5.803, year: 2020
Method of publishing: Open access
https://doi.org/10.1051/0004-6361/202037687

Component separation is one of the key stages of any modern cosmic microwave background data analysis pipeline. It is an inherently nonlinear procedure and typically involves a series of sequential solutions of linear systems with similar but not identical system matrices, derived for different data models of the same data set. Sequences of this type arise, for instance, in the maximization of the data likelihood with respect to foreground parameters or sampling of their posterior distribution. However, they are also common in many other contexts. In this work we consider solving the component separation problem directly in the measurement (time-) domain. This can have a number of important benefits over the more standard pixel-based methods, in particular if non-negligible time-domain noise correlations are present, as is commonly the case.
Permanent Link: http://hdl.handle.net/11104/0309979